Merge pull request #18353 from l-bat:issue_18350

* Fixed bug in ONNX Mul op

* Replaced node

modules/dnn/src/onnx/onnx_importer.cpp

@@ -1051,6 +1051,16 @@ void ONNXImporter::populateNet(Net dstNet)
             }
             else
             {
+                // Scale layer allocate output with the first input shape
+                if (total(outShapes[node_proto.input(0)]) < total(outShapes[node_proto.input(1)]))
+                {
+                    opencv_onnx::NodeProto proto;
+                    proto.add_input(node_proto.input(1));
+                    proto.add_input(node_proto.input(0));
+                    proto.add_output(layerParams.name);
+                    node_proto = proto;
+                }
+
                 if (isDiv)
                 {
                     LayerParams powerParams;

modules/dnn/test/test_onnx_importer.cpp

@@ -267,6 +267,13 @@ TEST_P(Test_ONNX_layers, ReduceMaxGlobal)
     testONNXModels("reduce_max");
 }
 
+TEST_P(Test_ONNX_layers, Scale)
+{
+    if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019)
+        applyTestTag(CV_TEST_TAG_DNN_SKIP_IE_NN_BUILDER);
+    testONNXModels("scale");
+}
+
 TEST_P(Test_ONNX_layers, ReduceMean3D)
 {
     if (backend == DNN_BACKEND_INFERENCE_ENGINE_NN_BUILDER_2019 && target != DNN_TARGET_CPU)